Thread: Using LIMIT changes index used by planner
I have a question regarding a serious performance hit taken when using a LIMIT clause. I am using version 7.4.6 on FreeBSD 4.10-STABLE with 2GB of memory. The table in question contains some 25 million rows with a bigserial primary key, orderdate index and a referrer index. The 2 select statements are as follow: A) select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid; B) select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid limit 10; So the only difference is the use of the Limit, which, in theory, should be quicker after custacctid is ordered. Now the analyze results: A) explain select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- Sort (cost=904420.55..904468.11 rows=19025 width=44) Sort Key: custacctid -> Index Scan using orderdate_idx on custacct (cost=0.00..903068.29 rows=19025 width=44) Index Cond: ((orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) Filter: (referrer = 1365) (5 rows) ************************ B) explain select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid limit 10; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=0.00..33796.50 rows=10 width=44) -> Index Scan using custacct2_pkey on custacct (cost=0.00..64297840.86 rows=19025 width=44) Filter: ((referrer = 1365) AND (orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) (3 rows) ******************* Notice the huge cost difference in the two plans: 904468 in the one without LIMIT versus 64297840.86 for the index scan on custacct index. Why would the planner switch from using the orderdate index to the custacct index (which is a BIGSERIAL, btw)? I can change that behavior (and speed up the resultant query) by using the following subquery: explain select foo.storelocation, foo.order_number from (select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid) as foo limit 10; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=904420.55..904420.67 rows=10 width=100) -> Subquery Scan foo (cost=904420.55..904658.36 rows=19025 width=100) -> Sort (cost=904420.55..904468.11 rows=19025 width=44) Sort Key: custacctid -> Index Scan using orderdate_idx on custacct (cost=0.00..903068.29 rows=19025 width=44) Index Cond: ((orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) Filter: (referrer = 1365) (7 rows) As a side note, when running query A, the query takes 1772.523 ms, when running the subselect version to get the limit, it takes 1415.615 ms. Running option B (with the other index being scanned) takes several minutes (close to 10 minutes!). What am I missing about how the planner views the LIMIT statement? Sven
On Mon, 2004-12-13 at 01:13 -0500, Sven Willenberger wrote: > I have a question regarding a serious performance hit taken when using a > LIMIT clause. I am using version 7.4.6 on FreeBSD 4.10-STABLE with 2GB > of memory. The table in question contains some 25 million rows with a > bigserial primary key, orderdate index and a referrer index. The 2 > select statements are as follow: It's an interesting question, but to be able to get answers from this list you will need to provide "EXPLAIN ANALYZE ..." rather than just "EXPLAIN ...". AFAICS the bad plan on LIMIT is because it optimistically thinks the odds are around the 0.00 end, rather than the 64297840.86 end, and indeed that is what the "Limit ..." estimate is showing. A bad plan (in your case) is encouraged here by the combination of "LIMIT" and "ORDER BY". For real background on this, and calculated recommendations, we'd need that more detailed output though. As a quick hack, it's possible that you could improve things by increasing the samples on relevant columns with some judicious "ALTER TABLE ... ALTER COLUMN ... SET STATISTICS ..." commands. Cheers, Andrew McMillan. ------------------------------------------------------------------------- Andrew @ Catalyst .Net .NZ Ltd, PO Box 11-053, Manners St, Wellington WEB: http://catalyst.net.nz/ PHYS: Level 2, 150-154 Willis St DDI: +64(4)803-2201 MOB: +64(272)DEBIAN OFFICE: +64(4)499-2267 Planning an election? Call us! -------------------------------------------------------------------------
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Andrew McMillan wrote: > On Mon, 2004-12-13 at 01:13 -0500, Sven Willenberger wrote: > >>I have a question regarding a serious performance hit taken when using a >>LIMIT clause. I am using version 7.4.6 on FreeBSD 4.10-STABLE with 2GB >>of memory. The table in question contains some 25 million rows with a >>bigserial primary key, orderdate index and a referrer index. The 2 >>select statements are as follow: > > > It's an interesting question, but to be able to get answers from this > list you will need to provide "EXPLAIN ANALYZE ..." rather than just > "EXPLAIN ...". > A) Query without limit clause: explain analyze select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- Sort (cost=1226485.32..1226538.78 rows=21382 width=43) (actual time=30340.322..30426.274 rows=21432 loops=1) Sort Key: custacctid -> Index Scan using orderdate_idx on custacct (cost=0.00..1224947.52 rows=21382 width=43) (actual time=159.218..30196.686 rows=21432 loops=1) Index Cond: ((orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) Filter: (referrer = 1365) Total runtime: 30529.151 ms (6 rows) ************************************ A2) Same query run again, to see effect of caching: explain analyze select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- Sort (cost=1226485.32..1226538.78 rows=21382 width=43) (actual time=1402.410..1488.395 rows=21432 loops=1) Sort Key: custacctid -> Index Scan using orderdate_idx on custacct (cost=0.00..1224947.52 rows=21382 width=43) (actual time=0.736..1259.964 rows=21432 loops=1) Index Cond: ((orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) Filter: (referrer = 1365) Total runtime: 1590.675 ms (6 rows) *********************************** B) Query run with LIMIT explain analyze select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid limit 10; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=0.00..43065.76 rows=10 width=43) (actual time=1306957.216..1307072.111 rows=10 loops=1) -> Index Scan using custacct2_pkey on custacct (cost=0.00..92083209.38 rows=21382 width=43) (actual time=1306957.205..1307072.017 rows=10 loops=1) Filter: ((referrer = 1365) AND (orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) Total runtime: 1307072.231 ms (4 rows) ************************************ C) Query using the subselect variation explain analyze select foo.storelocation, foo.order_number from (select storelocation,order_number from custacct where referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 12:00:00' order by custacctid) as foo limit 10; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=1226485.32..1226485.45 rows=10 width=100) (actual time=1413.829..1414.024 rows=10 loops=1) -> Subquery Scan foo (cost=1226485.32..1226752.60 rows=21382 width=100) (actual time=1413.818..1413.933 rows=10 loops=1) -> Sort (cost=1226485.32..1226538.78 rows=21382 width=43) (actual time=1413.798..1413.834 rows=10 loops=1) Sort Key: custacctid -> Index Scan using orderdate_idx on custacct (cost=0.00..1224947.52 rows=21382 width=43) (actual time=0.740..1272.380 rows=21432 loops=1) Index Cond: ((orderdate >= '2004-12-07 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 12:00:00'::timestamp without time zone)) Filter: (referrer = 1365) Total runtime: 1418.964 ms (8 rows) Thanks, Sven
Sven Willenberger <sven@dmv.com> writes: > explain analyze select storelocation,order_number from custacct where > referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 > 12:00:00' order by custacctid limit 10; > QUERY PLAN > ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- > Limit (cost=0.00..43065.76 rows=10 width=43) (actual > time=1306957.216..1307072.111 rows=10 loops=1) > -> Index Scan using custacct2_pkey on custacct > (cost=0.00..92083209.38 rows=21382 width=43) (actual > time=1306957.205..1307072.017 rows=10 loops=1) > Filter: ((referrer = 1365) AND (orderdate >= '2004-12-07 > 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 > 12:00:00'::timestamp without time zone)) > Total runtime: 1307072.231 ms > (4 rows) I think this is the well-known issue of lack of cross-column correlation statistics. The planner is well aware that this indexscan will be horridly expensive if run to completion --- but it's assuming that stopping after 10 rows, or 10/21382 of the total scan, will cost only about 10/21382 as much as the whole scan would. This amounts to assuming that the rows matching the filter condition are randomly distributed among all the rows taken in custacctid order. I suspect that your test case actually has a great deal of correlation between custacctid and referrer/orderdate, such that the indexscan in custacctid order ends up fetching many more rows that fail the filter condition than random chance would suggest, before it finally comes across 10 that pass the filter. There isn't any near-term fix in the wind for this, since storing cross-column statistics is an expensive proposition that we haven't decided how to handle. Your workaround with separating the ORDER BY from the LIMIT is a good one. regards, tom lane
On Mon, 2004-12-13 at 17:43 -0500, Tom Lane wrote: > Sven Willenberger <sven@dmv.com> writes: > > explain analyze select storelocation,order_number from custacct where > > referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 > > 12:00:00' order by custacctid limit 10; > > > QUERY PLAN > > > ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- > > Limit (cost=0.00..43065.76 rows=10 width=43) (actual > > time=1306957.216..1307072.111 rows=10 loops=1) > > -> Index Scan using custacct2_pkey on custacct > > (cost=0.00..92083209.38 rows=21382 width=43) (actual > > time=1306957.205..1307072.017 rows=10 loops=1) > > Filter: ((referrer = 1365) AND (orderdate >= '2004-12-07 > > 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-07 > > 12:00:00'::timestamp without time zone)) > > Total runtime: 1307072.231 ms > > (4 rows) > > I think this is the well-known issue of lack of cross-column correlation > statistics. The planner is well aware that this indexscan will be > horridly expensive if run to completion --- > <snip> > There isn't any near-term fix in the wind for this, since storing > cross-column statistics is an expensive proposition that we haven't > decided how to handle. Your workaround with separating the ORDER BY > from the LIMIT is a good one. > You are correct in that there is a high degree of correlation between the custacctid (which is a serial key) and the orderdate as the orders generally get entered in the order that they arrive. I will go with the workaround subselect query plan then. On a related note, is there a way (other than set enable_seqscan=off) to give a hint to the planner that it is cheaper to use and index scan versus seq scan? Using the "workaround" query on any time period greater than 12 hours results in the planner using a seq scan. Disabling the seq scan and running the query on a full day period for example shows: explain analyze select foo.storelocaion, foo.order_number from (select storelocation,order_number from custacct where referrer = 1365 and ordertdate between '2004-12-09' and '2004-12-10' order by custacctid) as foo limit 10 offset 100; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=2661326.22..2661326.35 rows=10 width=100) (actual time=28446.605..28446.796 rows=10 loops=1) -> Subquery Scan foo (cost=2661324.97..2661866.19 rows=43297 width=100) (actual time=28444.916..28446.298 rows=110 loops=1) -> Sort (cost=2661324.97..2661433.22 rows=43297 width=41) (actual time=28444.895..28445.334 rows=110 loops=1) Sort Key: custacctid -> Index Scan using orderdate_idx on custacct (cost=0.00..2657990.68 rows=43297 width=41) (actual time=4.432..28145.212 rows=44333 loops=1) Index Cond: ((orderdate >= '2004-12-09 00:00:00'::timestamp without time zone) AND (orderdate <= '2004-12-10 00:00:00'::timestamp without time zone)) Filter: (referrer = 1365) Total runtime: 28456.893 ms (8 rows) If I interpret the above correctly, the planner guestimates a cost of 2661326 but the actual cost is much less (assuming time is equivalent to cost). Would the set statistics command be of any benefit here in "training" the planner? Sven
Sven Willenberger <sven@dmv.com> writes: > On a related note, is there a way (other than set enable_seqscan=off) to > give a hint to the planner that it is cheaper to use and index scan > versus seq scan? There are basically two things you can do. One: if the planner's rowcount estimates are badly off, you can try increasing the stats targets for relevant columns in hopes of making the estimates better. A too-large rowcount estimate will improperly bias the decision towards seqscan. Two: if the rowcounts are in the right ballpark but the estimated costs have nothing to do with reality, you can try tuning the planner's cost parameters to make the model match local reality a bit better. random_page_cost is the grossest knob here; effective_cache_size is also worth looking at. See the pgsql-performance archives for more discussion. > -> Index Scan using orderdate_idx on custacct > (cost=0.00..2657990.68 rows=43297 width=41) (actual > time=4.432..28145.212 rows=44333 loops=1) In this case there's already a pretty good match between actual and estimated rowcount, so increasing the stats targets isn't likely to improve the plan choice; especially since a more accurate estimate would shift the costs in the "wrong" direction anyway. Look to the cost parameters, instead. Standard disclaimer: don't twiddle the cost parameters on the basis of only one test case. regards, tom lane
On Mon, 13 Dec 2004 17:43:07 -0500, Tom Lane <tgl@sss.pgh.pa.us> wrote: > Sven Willenberger <sven@dmv.com> writes: >> explain analyze select storelocation,order_number from custacct where >> referrer = 1365 and orderdate between '2004-12-07' and '2004-12-07 >> 12:00:00' order by custacctid limit 10; why not create an index on referrer, orderdate ?